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Postpartum depression is a mood disorder that occurs in mothers after childbirth, with symptoms that can appear from pregnancy until 4 weeks postpartum. This condition negatively impacts the psychological health of the mother and the development of the baby. This study aims to analyze factors associated with the risk of postpartum depression. The method used was quantitative with an analytical survey design through a cross-sectional approach. Data collection was carried out using the Edinburgh Postnatal Depression Scale (EPDS) questionnaire consisting of 10 questions. The results of the validity test showed a calculated r value of > 0.3610 and the reliability test obtained a Cronbach's alpha value of 0.67. The study sample consisted of 42 respondents selected using a total sampling technique, with inclusion criteria of mothers aged ≥18 years, in the period <6 weeks postpartum, and willing to be respondents. Data analysis used the chi-square test. The results showed that all variables had a significant relationship with the risk of postpartum depression (p < 0.05). These variables include age (p=0.040), education (p=0.018), occupation (p=0.011), history of depression (p=0.024), complications (p=0.017), economic status (p=0.048), parity (p=0.016), type of delivery (p=0.006), husband's support (p=0.000), and family support (p=0.028). Therefore, it can be concluded that demographic, obstetric, and social support factors play an important role in the risk of postpartum depression. These results are expected to form the basis for prevention efforts and early intervention to improve postpartum maternal mental health.

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.

In 2013, 4.6 million babies died worldwide before their first birthday, with 50% dying on the first day and nearly 75% within the first week. Most stillbirths and premature newborn deaths are attributable to birth complications that are preventable. The maternal profile in neonatal mortality cases plays an important role in understanding the factors that contribute to this high mortality rate. This cross-sectional study aims to determine the maternal profile of neonatal death cases at Ciawi Hospital, which were selected according to the criteria by total sampling based on medical record data from January 1, 2020, to December 31, 2020. The variables utilized in this study include maternal factors such as gestational age, type of delivery, twin pregnancy, presentation of pregnancy, medical condition of the mother, and obstetric problems. The data is presented in a descriptive format. Among the 58 respondents, the average age was 30.26 years, with a higher prevalence of preterm births (55.2%). The most frequently encountered medical condition in the maternal profile of neonatal deaths at Ciawi General Hospital is chronic hypertension. Conversely, the most common obstetric problems are premature rupture of membranes and oligohydramnios. Efforts to address medical issues in mothers can contribute to the reduction of neonatal mortality cases.    

Background : Early Initiation of Breastfeeding (IMD) is the process of placing a newborn on the mother's chest or stomach so that the baby can naturally find its own source of breast milk or breast milk and start breastfeeding. The baby will get immunity. IMD is beneficial for mothers because it can help speed up the postpartum recovery process Research purposes : To find out the relationship between parity, type of delivery and the age of the mother to the provision of early breastfeeding initiation (IMD) at the Lemahduhur Health Center in 2022 Research methods : The type of research used in this research is quantitative with a cross sectional research design. The population in this study is168 mothers giving birth. The sample in this study were 63 mothers giving birth using the accidental sampling technique. Bivariate analysis using the chi-square test. Research result : The distribution of the frequency of parity descriptions of mothers giving birth at the Lemahduhur Health Center in 2022 is partly 1-4 times as many as 45 people (71.4%). The distribution of the frequency of descriptions of the types of maternal deliveries at the Lemahduhur Health Center in 2022 is mostly normal, with 41 people (65.1%). The frequency distribution of the description of the age of mothers giving birth at the Lemahduhur Health Center in 2022 is mostly 20-40 years, with 36 people (57.1%). The distribution of the frequency of giving Early Breastfeeding Initiation (IMD) at the Lemahduhur Health Center in 2022 is mostly yes, as many as 42 people (66.7%). Conclusion : Can be concluded thatthere isthe relationship between parity, type of delivery and the age of the mother to the provision of early breastfeeding initiation (IMD) at the Lemahduhur Health Center in 2022.